Fast and High‐Resolution T2 Mapping Based on Echo Merging Plus k‐t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI

Author:

Li Hao12ORCID,Priest Andrew N.23ORCID,Horvat‐Menih Ines2,Huang Yuan24,Li Shaohang1,Stewart Grant D.5,Mendichovszky Iosif A.23,Francis Susan T.6,Gallagher Ferdia A.23

Affiliation:

1. Institute of Science and Technology for Brain‐Inspired Intelligence Fudan University Shanghai China

2. Department of Radiology University of Cambridge Cambridge UK

3. Department of Radiology Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital Cambridge UK

4. EPSRC Cambridge Mathematics of Information in Healthcare Hub University of Cambridge Cambridge UK

5. Department of Surgery Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital Cambridge UK

6. Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham UK

Abstract

AbstractPurposeTo develop a highly accelerated multi‐echo spin‐echo method, TEMPURA, for reducing the acquisition time and/or increasing spatial resolution for kidney T2 mapping.MethodsTEMPURA merges several adjacent echoes into one k‐space by either combining independent echoes or sharing one echo between k‐spaces. The combined k‐space is reconstructed based on compressed sensing theory. Reduced flip angles are used for the refocusing pulses, and the extended phase graph algorithm is used to correct the effects of indirect echoes. Two sequences were developed: a fast breath‐hold sequence; and a high‐resolution sequence. The performance was evaluated prospectively on a phantom, 16 healthy subjects, and two patients with different types of renal tumors.ResultsThe fast TEMPURA method reduced the acquisition time from 3–5 min to one breath‐hold (18 s). Phantom measurements showed that fast TEMPURA had a mean absolute percentage error (MAPE) of 8.2%, which was comparable to a standardized respiratory‐triggered sequence (7.4%), but much lower than a sequence accelerated by purely k‐t undersampling (21.8%). High‐resolution TEMPURA reduced the in‐plane voxel size from 3 × 3 to 1 × 1 mm2, resulting in improved visualization of the detailed anatomical structure. In vivo T2 measurements demonstrated good agreement (fast: MAPE = 1.3%–2.5%; high‐resolution: MAPE = 2.8%–3.3%) and high correlation coefficients (fast: R = 0.85–0.98; high‐resolution: 0.82–0.96) with the standardized method, outperforming k‐t undersampling alone (MAPE = 3.3–4.5%, R = 0.57–0.59).ConclusionTEMPURA provides fast and high‐resolution renal T2 measurements. It has the potential to improve clinical throughput and delineate intratumoral heterogeneity and tissue habitats at unprecedented spatial resolution.

Funder

Shanghai Center for Brain Science and Brain-Inspired Technology

Mark Foundation For Cancer Research

National Natural Science Foundation of China

Addenbrooke's Charitable Trust, Cambridge University Hospitals

Medical Research Council

Cancer Research UK

National Institute for Health and Care Research

NIHR Cambridge Biomedical Research Centre

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3